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Acknowledging that research on social customer relationship management (CRM) adoption remains scant, grounded in the theoretical perspectives of dynamic capabilities and technology adoption, and exploratory results from a field investigation of twelve firms drawn from a single industry, we identify and group relevant variables that potentially influence social CRM adoption into nine first-order categories. This qualitative picture can be used as a theoretical basis for studying social CRM adoption. Extending practitioners’ understanding of the nature of these categories may lead to better insights into how social CRM adoption can be managed more effectively.

Cloud Computing has recently emerged as a noteworthy milestone in the area of information and communications technology (ICT) systems development. In particular, Cloud Computing improves reliability and scalability of ICT systems, which allows small and medium-sized enterprises (SMEs) to scale down its ICT infrastructure while improving performance. Yet, there remains a dearth of literature that explicitly addresses the determinants of Cloud Computing adoption by SMEs. This paper aims to address voids in extant literature by developing a meta theoretical framework by assimilating two dominant theories in technology adoption literature. Following the pragmatism research paradigm and mixed methods research design, a face-to-face questionnaire survey was conducted as the main research strategy. Data stemmed from 142 SMEs in Sri Lanka were used to test the proposed framework using PLS-SEM. Twenty semi-structured interviews were initially used to validate the measurement scales before the main survey was undertaken. At the end, a supplementary qualitative phase was included with eight follow-up interviews to further discuss the findings of PLS-SEM analysis. Relative advantage, complexity, training and education, top management support, competitive pressure and trading partner support were identified as significant determinants.

Accommodation purchase decision is a complex field that makes predictions of revisit\ud intentions hard to examine. Our work explores psychological factors motivating visitors'\ud decision-making concerning accommodation purchases by integrating the theory of planned\ud behavior and value-attitude-behavior model. Using a group of multiple informants in Swiss\ud universities, we performed partial least squares structural equation modelling to assess the\ud impacts of subjective norm, attitude and perception of quality on visitors' revisit intention and\ud loyalty in Airbnb and hotel contexts. Although the influence of said factors on purchase\ud decisions varies in the two contexts, results suggest that subjective norm has an indispensable\ud role in prompting revisit intention towards Airbnb and hotel accommodations. This paper's\ud findings advance our understanding of visitors' decision-making processes concerning\ud traditional hotels and accommodation establishments operating in sharing economy platforms.